An unmanned aerial vehicle-based traffic anomaly detection method, device, equipment and medium

By acquiring obstacle information and dynamically adjusting the drone's shooting position, the problems of blind spots and obstructions in drone traffic anomaly detection have been solved, achieving more efficient traffic anomaly monitoring.

CN122416737APending Publication Date: 2026-07-17THE THIRD RES INST OF MIN OF PUBLIC SECURITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
THE THIRD RES INST OF MIN OF PUBLIC SECURITY
Filing Date
2026-06-10
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing drone traffic anomaly detection, the fixed flight path leads to a fixed shooting position, resulting in blind spots for the onboard camera and obstruction by obstacles, leading to poor monitoring results.

Method used

By acquiring the geographical coordinates of abnormal events and obstacle information on traffic roads, the system plans the flight path of drones, dynamically adjusts the shooting position, collects a set of abnormal event features, and determines whether to adjust the drone position based on the completeness of the data, thus realizing a closed-loop iterative mechanism.

Benefits of technology

It effectively avoids interference from obstacles, reduces the risk of flight collisions, improves the accuracy and completeness of abnormal event detection, eliminates blind spots and obstructions, and enhances monitoring effectiveness.

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Abstract

本发明公开了一种基于无人机的交通异常检测方法、装置、设备及介质,涉及智能交通监控与无人机巡检技术领域,本发明通过获取交通异常事件的地理位置坐标,确定预设区域内影响无人机飞行高度的障碍物信息;基于障碍物信息和地理位置坐标规划第一飞行路径,控制无人机飞至预设位置;无人机在预设高度采集事件的图片,提取异常事件的特征集合并结合预期特征集合计算异常事件的完整度,根据完整度重新确定预设位置。相对现有技术,本发明通过信息获取、路径规划、图像采集、完整度判定、拍摄位置动态调整的闭环迭代机制,使无人机根据事件实际发展趋势调整拍摄位置,消除障碍物遮挡和拍摄死角影响,提高了无人机巡检对交通异常事件的监控效果。
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